2016
DOI: 10.1016/j.eswa.2016.09.001
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Inventory model for a multi-echelon system with unidirectional lateral transshipment

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Cited by 36 publications
(9 citation statements)
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“…Recently, in [27], the authors applied the VARI-METRIC in designing an innovative model of spare parts allocation problem, aimed at minimizing backorders and ensuring system availability. Based on METRIC, Patriarca et al [28] developed a novel system-approach model to address the stock allocation within a complex network, where unidirectional lateral transshipment has been concretely considered. Patriarca et al [29] extended METRIC by considering a specific performance based contract (called PBC-METRIC), whose performance is demonstrated in a case study on a European airline that aims at reducing the ownership cost for the customer airline, while ensuring a target system performance.…”
Section: Methodologies For Distribution Inventory Systemsmentioning
confidence: 99%
“…Recently, in [27], the authors applied the VARI-METRIC in designing an innovative model of spare parts allocation problem, aimed at minimizing backorders and ensuring system availability. Based on METRIC, Patriarca et al [28] developed a novel system-approach model to address the stock allocation within a complex network, where unidirectional lateral transshipment has been concretely considered. Patriarca et al [29] extended METRIC by considering a specific performance based contract (called PBC-METRIC), whose performance is demonstrated in a case study on a European airline that aims at reducing the ownership cost for the customer airline, while ensuring a target system performance.…”
Section: Methodologies For Distribution Inventory Systemsmentioning
confidence: 99%
“…Khorshidi et al 133 used genetic algorithms to model for the redundancy system to determine the best redundancy configuration and inventory configuration. Patriarca et al 134 optimized the inventory level of repairable spare parts in a complex network through genetic algorithm. Cai et al 135 developed a combined method of genetic algorithm and Monte Carlo to get the optimal inventory level, safety level and potential failure threshold, and proposed an appointment policy of spare parts based on the prediction of residual life.…”
Section: Optimization Algorithms Of Spare Parts Configurationmentioning
confidence: 99%
“…The results have been verified through a simulation model, developed in MATLAB. The simulation model aims at calculating the actual number of Back Orders (BOs), by means of the demand dataset, and by a week-by-week calculation of relevant inventory variables, following the simple logic summarized in (13). The purpose of this phase is understanding whether the DW-METRIC may actually be more accurate than the traditional Poisson-based METRIC.…”
Section: Simulation Modelmentioning
confidence: 99%